Most searched books


Adaptive prediction and predictive control by P.P. Kanjilal

By P.P. Kanjilal

This publication is ready prediction and keep an eye on of methods that are expressed by means of discrete-time versions (i.e. the features range in a roundabout way with time). the purpose of the ebook is to supply a unified and complete assurance of the foundations, views and techniques of adaptive prediction, that is utilized by scientists and researchers in a large choice of disciplines

Show description

Read Online or Download Adaptive prediction and predictive control PDF

Best robotics & automation books

Adaptive Control Tutorial (Advances in Design and Control)

Designed to satisfy the wishes of a large viewers with no sacrificing mathematical intensity and rigor, Adaptive keep watch over instructional offers the layout, research, and alertness of a large choice of algorithms that may be used to control dynamical platforms with unknown parameters. Its tutorial-style presentation of the elemental options and algorithms in adaptive keep watch over make it appropriate as a textbook.

Entropy in Control Engineering (Series in Intelligent Control and Intelligent Automation) (v. 12)

Regulate engineering with glossy improvement in technological know-how through the idea that of entropy. regulate task is defined in response to the rules that keep an eye on is creating a method do what we need it to do, concerning keep watch over idea with the sciences.

Automating manufacturing systems with PLCs

A detailed exam of producing regulate structures utilizing dependent layout tools. subject matters comprise ladder good judgment and different IEC 61131 criteria, wiring, verbal exchange, analog IO, established programming, and communications. Allen Bradley PLCs are used generally during the publication, however the formal layout tools are acceptable to so much different PLC manufacturers.

Extra info for Adaptive prediction and predictive control

Sample text

In this connection, the sampling rate or the number of data points available within a certain time span is also important, because the sampling rate limits the highest frequency component that can be present in the sampled signal. 5 Models based on Frequency Domain Analysis 37 frequency components. The frequency domain representation of a periodic signal in terms of a Fourier series and that of a nonperiodic signal in terms of a Fourier transform are described. J. Fourier (1768-1830). The sampling aspects of a time series or signal are also studied in this section.

3 STOCHASTIC PROCESSES The word stochastic is of Greek origin, meaning to guess. A stochastic process is a random process evolving in time whose behaviour can be analysed statistically but cannot be predicted precisely. The uncertainty or the unknown disturbance in the observed process is described by a stochastic process and because of the presence of this uncertainty, the overall process is also called a stochastic process. The more accurate the statistical representation of the uncertainty in the process model, the higher the probability is of the model response being close to the actual response of the process.

X(k) = z(k)-z(k-i), i*l. , z(k) « y(k)-y(k-p), where p is the period length, etc. 4062w(k-12) + e(k), where w(k) • z(k) - z(k-l), and z(k) = y(k) - y(k-12). QQ Again, preprocessing of the data in terms of nonlinear Sec. 3) can improve transformation (discussed in stationarity. Nonlinear transformation is also used to formulate linear-in-the-parameter models for nonlinear time series or processes. Estimation and the noise process The proper characterization of the noise is important from a parameter estimation point of view.

Download PDF sample

Rated 4.74 of 5 – based on 36 votes

Comments are closed.